Type | : | ACTI |
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Nature | : | Production scientifique |
Au bénéfice du Laboratoire | : | Oui |
Statut de publication | : | Publié |
Année de publication | : | 2013 |
Lieu de publication | : | - |
Titre de la conférence | : | - |
Lieu de la conférence | : | - |
Année de la conférence | : | - |
Date de début | : | - |
Date de fin | : | - |
Titre du proceeding | : | Proseedings of the 12th IFAC Symposium on Computer Applications in Biotechnology |
Editeur de presse | : | - |
Volume | : | 46 |
Fascicule | : | 31 |
Pages | : | 107-112 |
Auteurs (4) | : | BAROUKH Caroline MUNOZ-TAMAYO Rafael STEYER Jean-philippe BERNARD Olivier |
Editeurs scientifiques (0) | : | |
DOI | : | 10.3182/20131216-3-IN-2044.00006 |
URL | : | http:////www.sciencedirect.com/science/article/pii/s1474667016313799 |
Abstract | : | Macroscopic and metabolic models are ubiquitous tools for bioprocess modeling and understanding. While these two modeling approaches bring answers to different objectives, a remaining challenging question is how to couple macroscopic and intracellular models to enlarge the prediction capabilities of the model while keeping a model structure with low complexity level? In this paper, we provide conceptual guidelines to address this question. We propose a new modeling framework that manages non-balanced growth condition and hence accumulation of intracellular metabolites. The first stage consists in determining metabolic sub-networks, which are assumed to satisfy balanced growth condition. Then, the remaining metabolites interconnecting the sub-networks can dynamically accumulate or be reused. The basis of our approach is illustrated for the carbon metabolic network of unicellular microalgae. |
Mots-clés | : | balanced-growth; dynamic modeling; lipids; metabolic modeling; microalgae |
Commentaire | : | - |
Tags | : | - |
Fichier attaché | : | - |
Citation | : |
Baroukh C, Munoz-Tamayo R, Steyer J-P, Bernard O (2013) A new framework for metabolic modeling under non-balanced growth. Application to carbon metabolism of unicellular microalgaee. Proseedings of the 12th IFAC Symposium on Computer Applications in Biotechnology. 31, Vol: 46, , 107-112 | doi: 10.3182/20131216-3-IN-2044.00006
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